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Proceedings 11th International Conference on Image Analysis and Processing最新文献

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Classification of cat ganglion retinal cells and implications for shape-function relationship 猫神经节视网膜细胞的分类及其形状-功能关系的意义
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957062
R. C. Coelho, Cesare Valenti, Júlia Sawaki Tanaka, L. Costa
{"title":"Classification of cat ganglion retinal cells and implications for shape-function relationship","authors":"R. C. Coelho, Cesare Valenti, Júlia Sawaki Tanaka, L. Costa","doi":"10.1109/ICIAP.2001.957062","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957062","url":null,"abstract":"This article presents a quantitative approach to ganglion cell classification by considering combinations of several geometrical features including fractal dimension, symmetry, diameter, eccentricity and convex hull. Special attention is given to moment and symmetry-based features. Several combinations of such features are fed to two clustering methods (Ward's hierarchical scheme and K-Means) and the respectively obtained classifications are compared. The results indicate the superiority of some features, also suggesting possible biological implications.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128476134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysing and simplifying histograms using scale-trees 使用尺度树分析和简化直方图
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.956989
Stuart E. Gibson, Richard Harvey
{"title":"Analysing and simplifying histograms using scale-trees","authors":"Stuart E. Gibson, Richard Harvey","doi":"10.1109/ICIAP.2001.956989","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.956989","url":null,"abstract":"A new method for analysing image histograms is introduced. The technique decomposes a histogram into probability level sets. The relationships between these level sets are encoded using a tree. The tree has fewer nodes than the histogram and so is a compressed feature. When used in image retrieval experiments the tree is shown to have a performance that is superior to many methods and no worse than the best alternatives. The tree is efficient because it can be built using a computationally efficient algorithm known as a sieve.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129631605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Concurrent edge/region detection from a Peano scan 从皮亚诺扫描并发边缘/区域检测
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.956996
G. Seetharaman, S. Bouchafa, B. Zavidovique
{"title":"Concurrent edge/region detection from a Peano scan","authors":"G. Seetharaman, S. Bouchafa, B. Zavidovique","doi":"10.1109/ICIAP.2001.956996","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.956996","url":null,"abstract":"This paper deals with an adaptive sub-sampling process that is an example of a more general class of data processing. Our approach consists of spanning a Z-tree over the image. The Z-tree is the bin-tree built from the 1D pixel sequence obtained through a peculiar scan called the Peano traversal. A conditional rotation operator, defined to manipulate the Z-tree, supports the Peano scan adaption. Iterating rotations before tree inversion allows us to rebuild various mosaic versions of a same initial image. In the application outlined here, a fair stress is put on the way spatial redundancies are highlighted by this image shuffling process. This helps in constructing various versions from the initial data where both edges are simultaneously detected.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129103749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A taxonomy for image authentication techniques and its application to the current state of the art 图像认证技术的分类及其在当前技术中的应用
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957065
M. Albanesi, M. Ferretti, Federico Guerrini
{"title":"A taxonomy for image authentication techniques and its application to the current state of the art","authors":"M. Albanesi, M. Ferretti, Federico Guerrini","doi":"10.1109/ICIAP.2001.957065","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957065","url":null,"abstract":"In this paper we propose a taxonomy for image authentication techniques that takes into account three different features: the level of integrity verification, the approach to the generation of the authenticator and the capability of localizing manipulated areas. The goal is to revise the current and very heterogeneous bibliography on this topic, and to define a set of basic requirements for an authentication service, in order to identify which ones have already been met and which ones remain challenging. The major algorithms proposed in the last decade are examined according to the classification criteria; advantages and drawbacks of the possible approaches are reported. In particular, we investigate the relationship between the well established digital signature techniques and the emerging watermarking approaches. As a result, we propose a methodological approach to the design of robust, secure and efficient authentication algorithms.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"36 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131196724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Clustering context properties of wavelet coefficients in automatic modelling and image coding 小波系数在自动建模和图像编码中的聚类上下文特性
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957000
J. Lehtinen, J. Kivijärvi
{"title":"Clustering context properties of wavelet coefficients in automatic modelling and image coding","authors":"J. Lehtinen, J. Kivijärvi","doi":"10.1109/ICIAP.2001.957000","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957000","url":null,"abstract":"An algorithm for automatic modelling of wavelet coefficients from context properties is presented. The algorithm is used to implement an image coder, in order to demonstrate its image coding efficiency. The modelling of wavelet co-efficients is performed by partitioning the weighted context property space to regions. Each of the regions has a dynamic probability distribution stating the predictions of the modeled co-efficients. The coding performance of the algorithm is compared to other efficient wavelet-based image compression methods.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128101753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A system for tracking laboratory animals based on optical flow and active contours 一种基于光流和活动轮廓的实验动物跟踪系统
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957031
Z. Kalafatić, S. Ribaric, V. Stanisavljevic
{"title":"A system for tracking laboratory animals based on optical flow and active contours","authors":"Z. Kalafatić, S. Ribaric, V. Stanisavljevic","doi":"10.1109/ICIAP.2001.957031","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957031","url":null,"abstract":"We present a working system for real-time tracking of multiple laboratory animals. As it is usually possible to ensure good contrast between the animals and the background, the tracking of a single animal or several physically separated animals can be obtained by relatively simple algorithms. The main problem arises when we try to track several almost identical, uniformly coloured animals during their contacts. To deal with this problem, we utilize dynamic information extracted by estimating sparse optical flow along the object contours. Optical flow vectors are used for updating the positions of the tracked contours in a sequence of image frames. The local properties of optical flow enable the system to track the objects during their contact, although some parts of the object contours become hidden. The missing dynamic information is reconstructed by using a model of constant optical flow along an object contour. The reconstructed contours are then adjusted to real object boundaries in the current frame by using an active contour model. The robustness of the tracking algorithm is improved by adding a supervision module, which detects tracking failures and reinitialises the contours that lose their targets. The system has been tested on real sequences with laboratory animals during pharmacological experiments and has been shown to be robust and efficient. Future extensions will include expert knowledge of biomedical and pharmacological experts. The major goal is to build a system that will provide an objective and standardised tool for evaluation of animal behaviour during experiments.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133836133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 26
ISAR image analysis by subspace method: automatic extraction and identification of ship profile 基于子空间方法的ISAR图像分析:船舶轮廓的自动提取与识别
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957063
A. Maki, K. Fukui, K. Onoguchi, Ken-ichi Maeda
{"title":"ISAR image analysis by subspace method: automatic extraction and identification of ship profile","authors":"A. Maki, K. Fukui, K. Onoguchi, Ken-ichi Maeda","doi":"10.1109/ICIAP.2001.957063","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957063","url":null,"abstract":"This paper deals with automatic identification of ships in images produced by inverse synthetic aperture radar (ISAR). The ISAR technique reconstructs a rapidly updating sequence of range-Doppler image frames of the target. Due to the physics of imaging based on the target's angular motions, however, images are invariably noisy, and not all frames contain equally useful information. The thrust of this research is to cope with these issues by introducing: (i) a multiframe algorithm to stably extract profiling as a basic feature reflecting the entire characteristics of a target; and (ii) subspace analysis for identification of the extracted profiling especially using the recently proposed constrained mutual subspace method (CMSM). Through preliminary experiments we demonstrate the effective performance of the proposed scheme.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132915323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Wavelet-based texture segmentation of remotely sensed images 基于小波的遥感图像纹理分割
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.956987
M. Acharyya, M. Kundu
{"title":"Wavelet-based texture segmentation of remotely sensed images","authors":"M. Acharyya, M. Kundu","doi":"10.1109/ICIAP.2001.956987","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.956987","url":null,"abstract":"A texture feature extraction scheme based on M-band wavelet packet frames is investigated. The features so extracted are used for segmentation of satellite images which usually have complex and overlapping boundaries. The underlying principle is based on the fact that different image regions exhibit different textures. Since most significant information of a texture often lies in the intermediate frequency bands, the present work employs an overcomplete wavelet decomposition scheme called discrete M-band wavelet packet frame (DM-bWPF), which yields improved segmentation accuracies. Wavelet packets represent a generalization of the method of multiresolution decomposition and comprise all possible combinations of subband tree decomposition. We propose a computationally efficient search procedure to find the optimal basis based on some maximum criterion of textural measures derived from the statistical parameters of each of the subbands, to locate dominant information in each subbands (frequency channels) and decide further decomposition.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121925399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Root growth analysis in physiological coordinates 生理坐标下的根生长分析
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957074
N. Kirchgessner, H. Spies, H. Scharr, U. Schurr
{"title":"Root growth analysis in physiological coordinates","authors":"N. Kirchgessner, H. Spies, H. Scharr, U. Schurr","doi":"10.1109/ICIAP.2001.957074","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957074","url":null,"abstract":"We present a method for botanical growth analysis of plant roots in physiological coordinates which is necessary for the evaluation of growth mechanisms in roots. The presented framework can be used on long image sequences up to several days. First the displacement vector field is estimated by the structure tensor method. Secondly the physiological coordinates of the root are determined by active contours fitted to the root boundary. Then the middle line as the object coordinate axis of the root is calculated. In the third step the displacement field is sampled and projected on the middle line. This yields an array of tangential displacements along the root which is used to calculate the spatially resolved expansion rate of the root along its length. The performance of the presented framework is demonstrated on both synthetic and real data.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121241494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Comparison and combination of adaptive query shifting and feature relevance learning for content-based image retrieval 基于内容的图像检索中自适应查询移位与特征相关学习的比较与结合
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957046
G. Giacinto, F. Roli, G. Fumera
{"title":"Comparison and combination of adaptive query shifting and feature relevance learning for content-based image retrieval","authors":"G. Giacinto, F. Roli, G. Fumera","doi":"10.1109/ICIAP.2001.957046","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957046","url":null,"abstract":"Despite the efforts to reduce the semantic gap between user perception of similarity and feature-based representation of images, user interaction is essential to improve retrieval performance in content-based image retrieval. To this end a number of relevance feedback mechanisms are currently adopted to refine image queries. They are aimed either to locally modify the feature space or to shift the query point towards more promising regions of the feature space. A novel adaptive query shifting mechanism is proposed to improve retrieval performance beyond that provided by other relevance feedback mechanisms. In addition we discuss the extent to which query shifting may provide better performance than feature weighting and provide experimental results on the complementarity of the two approaches. Finally, some combinational approaches are proposed to exploit such complementarities.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121336379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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